Toward “vibe medicine”: a self-evolving multi-agent framework for clinical decision support
KeAi Communications Co., Ltd.Peer-Reviewed Publication
Large language models and autonomous agents have advanced rapidly, showing broad promise in medical imaging analysis, clinical diagnosis, and treatment planning. However, most existing medical AI systems still rely primarily on pre-trained knowledge and fixed workflows, making it difficult to learn continuously from long-term clinical feedback, patient outcomes, and prior treatment experience. This "static AI" architecture limits their value in complex real-world clinical settings.
To address this bottleneck, a team led by Dr. Lian Zhang from the First Hospital of Hebei Medical University, in collaboration with domestic and international research partners, has proposed VIBEMed, which is a self-evolving multi-agent framework for clinical decision support designed to enable dynamic learning and safe, traceable system evolution.
- Journal
- Meta-Radiology
- Funder
- National Foreign Experts Program, Chronic Disease Management Research Program of the Center for Capacity Building and Continuing Education, National Health Commission, Hebei Provincial “Yanzhao Golden Terrace Talent Recruitment Program” - Top-Tier Talent Program, The Innovation & Development Medical Cooperation Program of Hengrui-Hebei, Hebei Provincial Health Commission Medical Research and Enterprise Joint Innovation Program, Hebei Provincial Health Commission Medical Research Program, Spark Scientific Research Program of The First Hospital of Hebei Medical University